Data challenges in optimizing biochar-based carbon sequestration

• Main Author: Tan, Raymond Girard R.
• Format: text
• Published: Animo Repository 2019
• Subjects: Biochar; Carbon sequestration; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2220; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3219/type/native/viewcontent
• Institution: De La Salle University

Biochar-based carbon management networks (CMNs) offer a means of achieving negative net greenhouse gas (GHG) emissions. Such systems rely on relatively mature technologies for biochar production, distribution and application by tillage; thus, the prospects for near-term scale-up, especially in developing countries with agriculture-intensive economies, are promising. The main technological gap lies in the capability to predict, optimize and monitor the actual climate change mitigation benefits. Computer-aided planning of biochar-based CMNs will be needed to maximize GHG reductions while minimizing any potential adverse environmental impacts. Such models can help decision-makers to understand and optimize the cost/benefit aspects of such systems to accelerate their commercial deployment. This paper gives a brief review of the available scientific literature, and discusses prospective areas for further research to facilitate the large-scale use of biochar as a negative emissions technology (NET). © 2019 Elsevier Ltd